Zero-based equalizers for single-input single-output and single-input multiple-output channels

2008 ◽  
Vol 88 (7) ◽  
pp. 1868-1880 ◽  
Author(s):  
Saman S. Abeysekera ◽  
Yun Ye
Keyword(s):  
Single Input Single Output ◽  
Single Output ◽  
Input Multiple Output ◽  
Single Input

scholarly journals Cognitive-Femtocell Based Resource Allocation in Macrocell Network

2021 ◽  
Author(s):  
Joydev Ghosh
Keyword(s):  
Base Station ◽  
Base Stations ◽  
Network Coverage ◽  
Femtocell Networks ◽  
Single Input Single Output ◽  
Single Output ◽  
Efficiency Measures ◽  
Input Multiple Output ◽  
Single Input ◽  
Cognitive Femtocell

<div>In this paper, we articulate the network coverage issues for both Femto Users (FUs) and Macro Users (MUs) located at cell edges. The cognitive-femtocell networks functioning under the vicinity of a macrocell frontier where the parameters such as pathloss, shadowing, Rayleigh fading have considered into the system model. The users, located at network border are positioned far apart from the Macro Base Station (MBS). This can be treated as the underprivileged users. The underprivileged users are to be facilitated by the femto cell base stations to provide uninterrupted QoS. We present on the overall outage probability of Single Input single Output (SISO) users and Single Input Multiple Output (SIMO) users, respectively, by taking several circumstantial components such as such as probability density function (PDF), location gap between base stations (BSs) and users, intra-tier interference and inter-tier interference into account. Further, evaluation has been extended by considering network throughput as the efficiency measures based on the sub-carrier and the power allotment in the dual tier network.</div>

scholarly journals Cognitive-Femtocell Based Resource Allocation in Macrocell Network

2021 ◽  
Author(s):  
Joydev Ghosh
Keyword(s):  
Base Station ◽  
Base Stations ◽  
Network Coverage ◽  
Femtocell Networks ◽  
Single Input Single Output ◽  
Single Output ◽  
Efficiency Measures ◽  
Input Multiple Output ◽  
Single Input ◽  
Cognitive Femtocell

<div>In this paper, we articulate the network coverage issues for both Femto Users (FUs) and Macro Users (MUs) located at cell edges. The cognitive-femtocell networks functioning under the vicinity of a macrocell frontier where the parameters such as pathloss, shadowing, Rayleigh fading have considered into the system model. The users, located at network border are positioned far apart from the Macro Base Station (MBS). This can be treated as the underprivileged users. The underprivileged users are to be facilitated by the femto cell base stations to provide uninterrupted QoS. We present on the overall outage probability of Single Input single Output (SISO) users and Single Input Multiple Output (SIMO) users, respectively, by taking several circumstantial components such as such as probability density function (PDF), location gap between base stations (BSs) and users, intra-tier interference and inter-tier interference into account. Further, evaluation has been extended by considering network throughput as the efficiency measures based on the sub-carrier and the power allotment in the dual tier network.</div>

scholarly journals A new Transmission and Reception Algorithms for Improving the Performance of SISO/MIMO- OFDM Wireless Communication System

2021 ◽  
Vol 28 (3) ◽  
pp. 146-158
Author(s):  
Maha Monther Shahab ◽  
Saad Mshhain Hardan ◽  
Asmaa Salih Hammoodi
Keyword(s):  
Wireless Communication ◽  
Multiple Input Multiple Output ◽  
Low Complexity ◽  
Mimo Channels ◽  
Single Input Single Output ◽  
Single Output ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Mimo Ofdm ◽  
Single Input

The future wireless communication requires a reliable transmission at high data rates, so the transmission over frequency-selective fading Multiple-Input–Multiple-Output MIMO channels become interesting since the capacity of "MIMO" channels expressions enormous gains above that of their essential single-input–single-output "SISO" channels. This paper examines the performance of the Low Complexity Zero Forcing "LCZF" equalizer for both systems single-input–single-output-Orthogonal Frequency Division Multiplexing" SISO-OFDM" and spatially multiplexed-Multiple-Input–Multiple-Output "SM-MIMO-OFDM" with different "QAM" modulations. It is exploring a new algorithm to improve the performance of the "BER", spectral efficiency, and power efficiency and to reduce the complexity of the "RF" communication system under the effect of the Additive White Gaussian Noise "AWGN" and multipath fading channel. It is also improves an efficient channel by developing a Low Complexity Zero Forcing "LCZF" equalizer for both "SISO-OFDM" and "SM-MIMO-OFDM" wireless Communication systems. This is done by proposing a new algorithm at the receiver side to covert the Linear Convolution in to Cyclic Convolution by adding Zero Padding "ZP" to the channel impulse response in such a way to be the same length to the transmitted signal in the time domain which is of length N, where N is the length of "IFFT".

MIMO Modes in LTE

2019 ◽  
Vol 15 (2) ◽  
pp. 1-22
Author(s):  
Saurabh Dixit ◽  
Himanshu Katiyar ◽  
Arun Kumar Singh
Keyword(s):  
Multiple Input Multiple Output ◽  
Spatial Diversity ◽  
Spatial Multiplexing ◽  
Maximal Ratio Combining ◽  
Fourth Generation ◽  
Selection Combining ◽  
Single Input Single Output ◽  
Single Output ◽  
Input Multiple Output ◽  
Single Input

The multiple input multiple output (MIMO) technology is a key technology for fourth generation (4G) and beyond wireless communications. The MIMO exploits the space diversity to improve performance as well as augment its capacity. Long term evolution (LTE), the dominant 4G standard, operates in diverse MIMO modes, including spatial multiplexing, spatial diversity, and beamforming techniques to combine the advantages of spatial diversity and spatial multiplexing. This article discusses the various modes in LTE and analyses the performance of the single input single output (SISO) and the single input multiple output (SIMO) modes with selection combining (SC) and maximal ratio combining (MRC) at the receiver end. multiplexing (OFDM) is the multiple. The analysis was done on different values of power decay factor and the different number of channel taps. The performance of MIMO configurations for varying power delay profiles and resolvable paths has been analyzed. It is inferred that the higher number of resolvable paths and a low scattering propagating environment augments the performance.

Study of receiver design in a MIMO SAR configuration

2012 ◽  
Vol 4 (3) ◽  
pp. 335-339 ◽  
Author(s):  
Vishal Riché ◽  
Stéphane Méric ◽  
Éric Pottier
Keyword(s):  
Multiple Input Multiple Output ◽  
Real Data ◽  
Synthetic Aperture ◽  
Receiver Design ◽  
Single Input Single Output ◽  
Single Output ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Single Input ◽  
Sar Processing

In this paper, we are concerned on the receiver design and the different imaging possibilities for radar multiple input multiple output (MIMO) synthetic aperture radar (SAR). The transmission of pseudo-orthogonal waveforms gives many opportunities in reception on how to manage these different signals. We proposed to compare different resolutions and robustness for SAR measurements: single input single output (SISO) and MIMO. Moreover, we developed different SAR processings based on MIMO configuration by using the Stolt interpolation on simulations. On real data, these SAR processing will be adapted for the backprojection processing.

Derivation of Correlations for Small Turbojet Engines

2008 ◽  
Author(s):  
J. E. Donald Gauthier ◽  
Robert Stowe
Keyword(s):  
Pressure Ratio ◽  
Inlet Temperature ◽  
Single Input Single Output ◽  
Single Output ◽  
Input Multiple Output ◽  
Data Points ◽  
Degree Of Confidence ◽  
Single Input ◽  
Specific Thrust ◽  
Aero Engines

When analysing the performance of aero-engines with incomplete input data, it is often necessary to estimate the value of the missing parameters. This paper describes the work completed to develop correlations linking various turbojet parameters using a database of nearly 100 data points. The study was limited to small single-spool turbojets with static thrust up to about 8896 N (2000 lbf). For afterburning turbojets, the information for dry operation was used. Two approaches were implemented. A Single-Input-Multiple-Output (SIMO) approach was tried with thrust as the single input variable. This approach met with success, but for only a few cases. A Multiple-Input-Single-Output (MISO) approach was tried with the specific thrust as the single output parameter. This approach worked well only when the number of known input variable values was large. For example, using the correlations derived in this research, a propulsion analyst could estimate the specific thrust from known turbine inlet temperature, fuel-to-air ratio and the pressure ratio with a reasonable degree of confidence. In the process of deriving SIMO and MISO correlations, a number of Single-Input-Single-Output (SISO) correlations were also developed. Some give fine results while others lead to excessive scatter. The paper describes the process of deriving the correlations and reports on the quality of the fits.

scholarly journals MIMO SAR Using Orthogonal Coding: Design, Performance Analysis, and Verifications

2015 ◽  
Vol 2015 ◽  
pp. 1-10
Author(s):  
Yueguan Lin ◽  
Yida Fan ◽  
Chenglong Jiang ◽  
Zhiqiang Wang ◽  
Weizeng Shao
Keyword(s):  
Performance Analysis ◽  
Imaging System ◽  
Multiple Input Multiple Output ◽  
Single Input Single Output ◽  
Single Output ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Single Input ◽  
Scientists And Engineers ◽  
Azimuth Resolution

Multiple-input multiple-output (MIMO) synthetic aperture radar (SAR) is a promising technology in radar imaging which provides a better balance of azimuth resolution and swath width compared with traditional single-input single-output (SISO) SAR. It has the potential to help scientists and engineers to design ambitious SAR system with higher resolution and wider swath. This paper studies the principle of MIMO SAR using orthogonal coding waveform and then provides the performance analysis in resolution and swath width. By using orthogonal coding waveform, lower channel interference is obtained, which makes MIMO SAR achieve wider unambiguous range swath and lower azimuth ambiguity. Simulations are carried out by means of the system parameters of real spaceborne SAR platform. A ground-based MIMO SAR imaging system with up and down chirp modulation is also designed. The performances of MIMO SAR and SISO SAR are compared, and the validity and advantage of MIMO SAR are verified.

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